IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
774debe verified
raw
history blame
13 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 802.4064,
"max_global_vram": 1192.7552,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"values": [
0.0722708511352539
],
"count": 1,
"total": 0.0722708511352539,
"mean": 0.0722708511352539,
"p50": 0.0722708511352539,
"p90": 0.0722708511352539,
"p95": 0.0722708511352539,
"p99": 0.0722708511352539,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1088.643072,
"max_global_vram": 1203.24096,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.03808
},
"latency": {
"unit": "s",
"values": [
0.006231040000915527,
0.005954559803009033,
0.006007808208465576,
0.006067200183868408,
0.006300672054290772,
0.006242303848266601,
0.006277120113372803,
0.006285312175750732,
0.006228991985321045,
0.00612556791305542,
0.005975039958953857,
0.006223872184753418,
0.0062156481742858885,
0.006061056137084961,
0.00602726411819458,
0.006046720027923584,
0.005991424083709717,
0.005895167827606201,
0.00602623987197876,
0.006155263900756836,
0.005982207775115967,
0.005959680080413818,
0.0060405759811401364,
0.006046720027923584,
0.006061056137084961,
0.006212607860565185,
0.006277120113372803,
0.005982240200042724,
0.006159359931945801,
0.006033408164978027,
0.006086656093597412,
0.006015999794006348,
0.0060702719688415525,
0.00610207986831665,
0.006078464031219482,
0.005963776111602783,
0.005943295955657959,
0.005971968173980713,
0.006067200183868408,
0.006080512046813965,
0.006049791812896729,
0.005986303806304932,
0.006017024040222168,
0.0060282878875732426,
0.006025216102600098,
0.006144000053405762,
0.0062638077735900875,
0.006214655876159668,
0.006218751907348633,
0.0060405759811401364,
0.005996575832366943,
0.006094848155975342,
0.005914624214172363,
0.005933055877685547,
0.00591871976852417,
0.006154240131378174,
0.006206463813781738,
0.00601907205581665,
0.005986303806304932,
0.005996543884277344,
0.005941247940063477,
0.006023168087005615,
0.006011903762817383,
0.006110208034515381,
0.00611737585067749,
0.006095871925354004,
0.006138879776000977,
0.006032383918762207,
0.006067200183868408,
0.005958655834197998,
0.006045695781707764,
0.005987328052520752,
0.006008831977844238,
0.0060282878875732426,
0.005947328090667724,
0.006043615818023681,
0.005941279888153076,
0.005817344188690185,
0.006137856006622314,
0.005958655834197998,
0.005988351821899414,
0.00613478422164917,
0.005912576198577881,
0.005649407863616943,
0.005582848072052002,
0.005851136207580566,
0.0059361281394958495,
0.006032383918762207,
0.00611737585067749,
0.006157279968261719,
0.006178815841674804,
0.006146048069000244,
0.006302720069885254,
0.006662144184112549,
0.0061972479820251464,
0.0059023361206054685,
0.005895167827606201,
0.00586956787109375,
0.00588595199584961,
0.005933055877685547,
0.005903359889984131,
0.0058757119178771975,
0.005889023780822754,
0.005831679821014404,
0.006251520156860352,
0.005932991981506348,
0.0058757119178771975,
0.005833727836608887,
0.005824512004852295,
0.0057825279235839844,
0.005814271926879883,
0.005783552169799804,
0.005846015930175781,
0.005775360107421875,
0.005777408123016357,
0.00582144021987915,
0.005777408123016357,
0.005787615776062012,
0.005772287845611572,
0.005801983833312988,
0.005780479907989502,
0.005810175895690918,
0.005744639873504639,
0.005798912048339844,
0.005773312091827393,
0.0058091521263122555,
0.005790719985961914,
0.005788671970367432,
0.005807104110717773,
0.005764095783233642,
0.005791744232177734,
0.0057794561386108395,
0.005808127880096436,
0.005788671970367432,
0.005810175895690918,
0.005774335861206055,
0.00581331205368042,
0.005798912048339844,
0.005805056095123291,
0.00582144021987915,
0.005785600185394287,
0.005808127880096436,
0.005816319942474365,
0.005808127880096436,
0.005775360107421875,
0.005797887802124023,
0.00575491189956665,
0.005785600185394287,
0.005781504154205322,
0.0057794561386108395,
0.005758975982666016,
0.0057794561386108395,
0.005781504154205322,
0.005794816017150879,
0.005814271926879883,
0.005794816017150879,
0.005796864032745362,
0.005801983833312988,
0.005777408123016357,
0.005747712135314941,
0.005758975982666016,
0.005789631843566894,
0.005766143798828125,
0.005819392204284668,
0.005757952213287353,
0.005814239978790283,
0.005751776218414307,
0.005745664119720459
],
"count": 168,
"total": 1.000191871166229,
"mean": 0.0059535230426561265,
"p50": 0.005942287921905518,
"p90": 0.006200012731552124,
"p95": 0.006238361501693725,
"p99": 0.006301347899436951,
"stdev": 0.00016837303829047318,
"stdev_": 2.828124407751593
},
"throughput": {
"unit": "samples/s",
"value": 167.96777182773047
},
"energy": {
"unit": "kWh",
"cpu": 6.828796402857333e-08,
"ram": 3.7278856134634245e-08,
"gpu": 1.3640975152873688e-07,
"total": 2.4197657169194445e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4132631.4899323396
}
}
}
}